OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 12. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)

Article	Citations
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	558
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	338
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	200
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	147
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	117
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	110
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	106
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	96
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	82
Graph Co-Attentive Session-based Recommendation	78
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	77
DiffuRec: A Diffusion Model for Sequential Recommendation	75
Understanding the “Pathway” Towards a Searcher’s Learning Objective	72
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	70
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	65
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	62
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	60
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	59
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	58
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	50
ID-centric Pre-training for Recommendation	50
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	49
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	49
Revisiting Conversation Discourse for Dialogue Disentanglement	49
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	49

Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	47
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	47
Bias and Debias in Recommender System: A Survey and Future Directions	46
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	44
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	44
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	44
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	43
A Review Selection Method Based on Consumer Decision Phases in E-commerce	43
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	43
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems.	42
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	41
Enhancing ID-based Recommendation with Large Language Models	40
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	40
Toward Best Practices for Training Multilingual Dense Retrieval Models	40
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	40
On the User Behavior Leakage from Recommender System Exposure	39
Listwise Generative Retrieval Models via a Sequential Learning Process	39
Collaborative Sequential Recommendations via Multi-view GNN-transformers	38
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	38
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	37
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	37
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	37
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	37
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	35
Variational Type Graph Autoencoder for Denoising on Event Recommendation	34
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	32
Cluster-Based Graph Collaborative Filtering	31
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	31
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	31
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	30
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	30
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	30
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	30
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	28
User Behavior Simulation for Search Result Re-ranking	28
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	28
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	27
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	27
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	27
Meta-Learning to Rank for Sparsely Supervised Queries	27
Causal Inference in Recommender Systems: A Survey and Future Directions	26
Graph Neural Pre-training for Recommendation with Side Information	26
Sequential Recommendation with Multiple Contrast Signals	26
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	26
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	25
Average User-Side Counterfactual Fairness for Collaborative Filtering	24
Contrastive Self-supervised Learning in Recommender Systems: A Survey	24
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	24
Personality Dialogue Agent Based on Personality Description and Conversation History	23
Reinforcement Routing on Proximity Graph for Efficient Recommendation	23

A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments	23
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	23
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	23
A Survey on the Memory Mechanism of Large Language Model-based Agents	22
Social Context-aware Person Search in Videos via Multi-modal Cues	22
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	22
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	22
Explaining Recommendation Fairness from a User/Item Perspective	21
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	21
On Elastic Language Models	21
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	20
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation	20
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	20
Knowledge Graph Pruning for Recommendation	20
Multi-Agent Attacks for Black-Box Social Recommendations	20
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	19
Triple Sequence Learning for Cross-domain Recommendation	19
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	19
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	19
Towards Efficient Coarse-grained Dialogue Response Selection	19
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	18
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval	18
The In-Situ Effect of Offensive Ads on Search Engine Users	18
Online and Offline Evaluation in Search Clarification	18
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective	17
How Can Recommender Systems Benefit from Large Language Models: A Survey	17
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	16
Ranking Models for the Temporal Dimension of Text	16
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	16
Stopping Methods for Technology-assisted Reviews Based on Point Processes	16
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	16
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	16
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	15
Post-Training Attribute Unlearning in Recommender Systems	15
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	15
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	15
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	15
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	14
A Variational Neural Architecture for Skill-based Team Formation	14
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	14
Debiased Cognition Representation Learning for Knowledge Tracing	14
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	14
Knowledge Base Embedding for Sampling-Based Prediction	14
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	14
Person-action Instance Search in Story Videos: An Experimental Study	13
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	13
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	13
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	13
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	13
Learning to Learn a Cold-start Sequential Recommender	13
Rebalancing Discriminative Responses for Knowledge Tracing	13
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	13
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	13
Counterfactual Explanation for Fairness in Recommendation	13
Unsupervised Social Bot Detection via Structural Information Theory	13
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank	13
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	12
Building a Coding Assistant via the Retrieval-Augmented Language Model	12
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	12
Efficient Multi-task Prompt Tuning for Recommendation	12
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	12
Causal Time-aware News Recommendations with Large Language Models	12
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	12
Deep Coupling Network for Multivariate Time Series Forecasting	12
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	12
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	12
Combining Graph Convolutional Neural Networks and Label Propagation	12
Robust Collaborative Filtering to Popularity Distribution Shift	12